This roadmap is designed for ambitious developers aiming to become job-ready Quant + Rust Developers targeting Job within 6 months.
| Week | Focus | Tasks / Projects |
|---|---|---|
| 1 | Rust Basics | Read The Rust Programming Language Chapters 1–4, practice ownership, borrow, structs, enums |
| 2 | Rust Intermediate | Generics, traits, error handling, collections; implement sorting/search algorithms |
| 3 | Quant Math | Probability, statistics, linear algebra; simulate dice rolls, coin flips in Rust |
| 4 | Mini Project | Monte Carlo simulation in Rust (simulate stock price paths) |
| Week | Focus | Tasks / Projects |
|---|---|---|
| 5 | Market Basics | Learn stocks, options, futures, crypto; understand order books and arbitrage |
| 6 | Time Series Analysis | Moving averages, RSI, MACD; fetch historical data with Python/pandas |
| 7 | Portfolio Theory | Mean-variance, Sharpe ratio, CAPM; implement simple backtesting in Python |
| 8 | Mini Project | Backtesting Engine: Python or Rust, implement one strategy with historical data |
| Week | Focus | Tasks / Projects |
|---|---|---|
| 9 | Rust Concurrency | Learn tokio, rayon, async streams; implement concurrent data fetch |
| 10 | Networking & APIs | Rust WebSocket + REST clients; fetch live crypto or stock prices |
| 11 | Performance Optimization | Benchmark Rust code, memory management, optional SIMD basics |
| 12 | Mini Project | Rust Market Data Streamer + real-time metrics dashboard |
| Week | Focus | Tasks / Projects |
|---|---|---|
| 13 | ML Basics | Regression, classification, scikit-learn, PyTorch basics |
| 14 | Feature Engineering | Use technical indicators as ML features for prediction |
| 15 | Model Integration | Train model to predict next-day returns; test on historical data |
| 16 | Mini Project | Rust + Python integration: expose ML predictions via Rust API |
| Week | Focus | Tasks / Projects |
|---|---|---|
| 17 | Rust Smart Contracts | Learn Solana or Near basics; write & deploy small contract |
| 18 | On-chain Data | Fetch token prices, DEX liquidity, or historical trades using APIs |
| 19 | Trading Bots | Implement auto-trading bot simulation in Rust |
| 20 | Mini Project | AI-powered crypto arbitrage bot (simulate on testnet) |
| Week | Focus | Tasks / Projects |
|---|---|---|
| 21 | Portfolio Building | Polish 3–4 projects; write clear GitHub READMEs |
| 22 | Technical Writing | Publish blogs/tutorials: “Rust + Quant Project Showcase” |
| 23 | Networking & Interviews | Practice LeetCode (Rust + Python), quant math puzzles, connect with prop trading / DeFi companies |
| 24 | Mock Interviews & Applications | Apply to HFT, fintech, DeFi quant roles; send portfolio + projects |
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Daily Goal: 4–6 hrs (2 hrs theory, 2 hrs coding, 1 hr reading research/tutorials, 1 hr writing/documenting).
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Portfolio: Must include Rust + ML + Quant projects — top recruiters check proof of work.
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Networking: Join Discord communities for Rust, Quant, Solana; share projects on LinkedIn.
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Certifications (Optional):
- Rust Programming (Exercism)
- DeepLearning.AI Generative AI (Coursera)
- Solana / Alchemy bootcamps